/*=========================================================================
 *
 *  Copyright Insight Software Consortium
 *
 *  Licensed under the Apache License, Version 2.0 (the "License");
 *  you may not use this file except in compliance with the License.
 *  You may obtain a copy of the License at
 *
 *         http://www.apache.org/licenses/LICENSE-2.0.txt
 *
 *  Unless required by applicable law or agreed to in writing, software
 *  distributed under the License is distributed on an "AS IS" BASIS,
 *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  See the License for the specific language governing permissions and
 *  limitations under the License.
 *
 *=========================================================================*/
/*=========================================================================
 *
 *  Portions of this file are subject to the VTK Toolkit Version 3 copyright.
 *
 *  Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen
 *
 *  For complete copyright, license and disclaimer of warranty information
 *  please refer to the NOTICE file at the top of the ITK source tree.
 *
 *=========================================================================*/
#ifndef itkScalarConnectedComponentImageFilter_h
#define itkScalarConnectedComponentImageFilter_h

#include "itkMath.h"
#include "itkNumericTraits.h"
#include "itkConnectedComponentFunctorImageFilter.h"

namespace itk
{
/** \class ScalarConnectedComponentImageFilter
 *
 *  \brief A connected components filter that labels the
 *         objects in an arbitrary image.  Two pixels are
 *         similar if they are within threshold of each other.
 *         Uses ConnectedComponentFunctorImageFilter.
 * \ingroup ITKConnectedComponents
 *
 * \sphinx
 * \sphinxexample{Segmentation/ConnectedComponents/LabelConnectComponentsInGrayscaleImage,Label Connect Components In Grayscale Image}
 * \endsphinx
 */

namespace Functor
{
template< typename TInput >
class SimilarPixelsFunctor
{
public:
  SimilarPixelsFunctor()
  {
    m_Threshold = NumericTraits< TInput >::ZeroValue();
  }

  ~SimilarPixelsFunctor() = default;

  bool operator!=(const SimilarPixelsFunctor & other) const
  {
    if ( m_Threshold != other.m_Threshold )
      {
      return true;
      }
    return false;
  }

  bool operator==(const SimilarPixelsFunctor & other) const
  {
    return !( *this != other );
  }

  void SetDistanceThreshold(const TInput & thresh)
  {
    m_Threshold = thresh;
  }

  TInput GetDistanceThreshold()
  {
    return ( m_Threshold );
  }

  bool operator()(const TInput & a, const TInput & b) const
  {
    using InputRealType = typename NumericTraits< TInput >::RealType;
    auto absDifference = static_cast< TInput >( itk::Math::abs(
                                                    static_cast< InputRealType >( a )
                                                    - static_cast< InputRealType >( b ) ) );
    if ( absDifference <= m_Threshold )
      {
      return true;
      }
    else
      {
      return false;
      }
  }

protected:
  TInput m_Threshold;
};
} // end namespace Functor

template< typename TInputImage, typename TOutputImage, typename TMaskImage = TInputImage >
class ScalarConnectedComponentImageFilter:
  public ConnectedComponentFunctorImageFilter< TInputImage, TOutputImage,
                                               Functor::SimilarPixelsFunctor< typename TInputImage::ValueType >,
                                               TMaskImage >
{
public:
  ITK_DISALLOW_COPY_AND_ASSIGN(ScalarConnectedComponentImageFilter);

  /** Standard class type aliases. */
  using Self = ScalarConnectedComponentImageFilter;
  using Superclass = ConnectedComponentFunctorImageFilter<
    TInputImage, TOutputImage,
    Functor::SimilarPixelsFunctor< typename TInputImage::ValueType >,
    TMaskImage >;

  using Pointer = SmartPointer< Self >;
  using ConstPointer = SmartPointer< const Self >;

  /** Method for creation through the object factory. */
  itkNewMacro(Self);

  /** Run-time type information (and related methods). */
  itkTypeMacro(ScalarConnectedComponentImageFilter, ConnectedComponentFunctorImageFilter);

  using InputPixelType = typename TInputImage::PixelType;

  virtual void SetDistanceThreshold(const InputPixelType & thresh)
  { this->GetFunctor().SetDistanceThreshold(thresh); }

  virtual InputPixelType GetDistanceThreshold()
  { return ( this->GetFunctor().GetDistanceThreshold() ); }

#ifdef ITK_USE_CONCEPT_CHECKING
  // Begin concept checking
  itkConceptMacro( InputEqualityComparableCheck,
                   ( Concept::EqualityComparable< InputPixelType > ) );
  itkConceptMacro( OutputEqualityComparableCheck,
                   ( Concept::EqualityComparable< typename TOutputImage::PixelType > ) );
  itkConceptMacro( MaskEqualityComparableCheck,
                   ( Concept::EqualityComparable< typename TMaskImage::PixelType > ) );
  itkConceptMacro( OutputIncrementDecrementOperatorsCheck,
                   ( Concept::IncrementDecrementOperators< typename TOutputImage::PixelType > ) );
  // End concept checking
#endif

protected:
  ScalarConnectedComponentImageFilter() = default;
  ~ScalarConnectedComponentImageFilter() override = default;
};
} // end namespace itk

#endif
